Top Remote Data & Analytics Jobs in Washington, DC

The Senior Product Analyst role involves data analysis, A/B testing, generating insights, and collaborating cross-functionally to enhance product strategies.

The Data Engineer will design and maintain data pipelines, optimize cloud data warehouses, and collaborate with analytics teams while mentoring junior staff.

The Technical SEO Strategist will design and implement scalable technical SEO solutions, optimize site performance, and establish analytics frameworks to enhance search visibility and data integrity across client environments.

The Senior Product Analyst will define and measure product success, collaborate on experiments, and derive actionable insights to improve growth and ROI.

The QA Analyst is responsible for ensuring product excellence through user requirement testing, defect management, and automation of software workflows. They create test cases, prioritize execution, conduct exploratory testing, and work closely with QA engineers to enhance automation coverage.

The Insights Analyst will provide expertise in employee engagement and performance management, assist customers with surveys, analyze results, and recommend actions while coaching best practices to ensure efficient service delivery.

As a Jr. Sales Commission Analyst, you will calculate commission payments, prepare statements, resolve discrepancies, and ensure compliance with SOX controls while maintaining data accuracy.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.